Objective: To identify risk factors of mortality in patients with chronic obstructive pulmonary disease (COPD).
Design: A retrospective cohort study.
Location: Primary care setting in Lleida, Spain.
Participants: 2.501 patients older than 40 years with at least a spirometry in the 24 months prior to the beginning of the study were followed for 3 years.
Main Measurements: The dependent variable was the overall mortality in the period 11/01/2010-10/31/2013; and the independents: spirometric parameters, severity (GOLD) and clinical variables. Their association with mortality was analyzed by calculating the adjusted odds ratio using a non-conditional logistic regression model.
Results: The average age of 2.501 patients at the beginning of the study was 68.4 years (SD=11.6). 75.0% were males. 50.8% had a mild severity COPD, followed by moderate (35.3%), severe (9.4%) and very severe (4.4%). Mortality rate for the all period was 12.55%. The variables of the predictive model were: age, male sex, previous exacerbations, number of visits to primary care, comorbidity, smoking, severity of COPD (GOLD) and not receiving influenza vaccination, with an area under the ROC curve of 0.76.
Conclusions: This model, easy and quick to apply, would identify those patients at increased risk of mortality and who could benefit from preventive strategies to improve their survival.
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http://dx.doi.org/10.1016/j.aprim.2014.11.004 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Medical and Surgical Sciences, Institute of Cardiology, University of Bologna, Policlinico S.Orsola-Malpighi, via Massarenti 9, Bologna, 40138, Italy.
Cardiac implantable electronic devices infections (CIEDI) are associated with poor survival despite the improvement in transvenous lead extraction (TLE). Aetiology and systemic involvement are driving factors of clinical outcomes. The aim of this study was to explore their contribute on overall mortality.
View Article and Find Full Text PDFHead Neck
December 2024
Department of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Background: The geriatric nutritional risk index (GNRI) is a tool to assess preoperative nutritional status that can be calculated simply based on height, weight, and serum albumin. This study assesses the utility of GNRI in predicting postoperative complications in patients undergoing major head and neck cancer (HNC) surgery.
Methods: Retrospective review of the 2016-2020 National Surgical Quality Improvement Program database.
Ann Clin Transl Neurol
December 2024
Transplant and Cell Therapy Program, Division of Hematology, Department of Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada.
Objectives: Patients with refractory myasthenia gravis (MG) have few treatment options. Autologous hematopoietic stem cell transplantation (HSCT) has been used to treat immune diseases; however, its use in the treatment of MG is not broadly considered. Our objective is to report on the efficacy and safety of HSCT in refractory MG.
View Article and Find Full Text PDFObjective: this retrospective study aimed to evaluate the impact of BRCA mutational status on the outcomes of patients with advanced ovarian cancer treated with either primary debulking surgery (PDS) or neoadjuvant chemotherapy followed by interval debulking surgery (NACT-IDS). Material and a total of 79 patients with stage III-IV ovarian cancer treated at Elias Emergency University Hospital between January 2014 and March 2024 were included. Patients received either PDS followed by chemotherapy or NACT-IDS.
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